May 14th 2020

Project requirements

Follow the IMRAD standard scientific structure: - Introduction - Materials and Methods - Results (And) - Discussion With a technical focus, but minding to communicate which-ever biological insights you arrived at

Should not include all your code (we will look into that at the individual examinations), but rather focus on the broader picture of what you did and include data summaries and visualisations

Created using ioslides_presentation rmarkdown (i.e. the right-most doc column in the project organisation will be a rmarkdown based presentation)

Introduction

  • Intro to snake venom
  • Data set for the study:
    • Venom compositions from snakes all around the world
  • Goal of study:
    • Group snakes by genus based on venom composition (PCA, K-means, ANN)

The dataset

  • Main data
  • New data, adding three snakes from litterature

Materials and methods

  • Talk about how the data sets are merged
  • Talk about which methods have been used to reach the goal for the study (PCA, K-means, ANN)

Results from cleaning and augmenting the data

  • Show dirty data vs. clean data
  • Show region, family, genus, species rows
  • Show grouping of the toxin families columns

Augmented data

## Parsed with column specification:
## cols(
##   .default = col_double(),
##   Snake = col_character(),
##   Genus = col_character(),
##   Species = col_character(),
##   Reference = col_character(),
##   Country = col_character(),
##   Continent = col_character(),
##   Family = col_character()
## )
## See spec(...) for full column specifications.

Results from PCA and K-means

Test

Test 2

Results from ANN

  • Plots

Discussion

  • Discuss results, what can we say about the data based on the study

Slide with R Output

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Slide with Plot